Big data isn’t just pretty pictures at Structure Data 2014

http://gigaom2.files.wordpress.com/2012/06/data-brain.jpg

 

 

With the impending explosion of data it is important to remember to mine it in the most efficient way. With bolt-on data analysis suits like Hadoop I expect that an organization will get much better at processing their their data. I think the name of the data game right now is going to be what companies can figure out how best to leverage the data they currently have. If they can actually leverage it properly now, they may be able to hold quite a competitive advantage when the tsunami of data flows in as predicted.

 

Another interesting find related to this post is the concept of the “Data Scientist”. IBM’s definition being: “A data scientist represents an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modeling, statistics, analytics and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization. ”

 

Either way you slice it, its looking like with data you either need to get on board or get out of the way.

Data Scientist: http://www-01.ibm.com/software/data/infosphere/data-scientist/

Gigaom

As the internet of things takes off, companies like Ford, MetLife and McLaren are using big data to transform the way consumers interact with their products and the way products interact with consumers. Our Structure Data speakers show how big data permeates a wide array of businesses.

Big data is a lot more than great graphics.

In his first post about the conference, Derrick Harris writes about how big data isn’t just another pretty interface. He points out that data is “about making dumb products smarter, ugly products prettier and taking advantage of major advances in computing.” So while graphics are great, you need to go beyond the pretty pictures and understand what you are looking at and how the analysis can help you make better products, provide better customer service, and become more innovative at your company’s core values.

We are getting adept at mining our “forgotten” data…

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2 thoughts on “Big data isn’t just pretty pictures at Structure Data 2014

  1. aurora777light January 9, 2014 / 5:02 pm

    Did you ever wonder why nobody ever invited you to any of the fun parties or social events? Well don’t, because it is evident why they don’t. Your pseudo arrogance speaks volumes, “Either way you slice it it’s looking like with data, you either need to get on board or get out of the way.”

    If your intent was to promote a positive view of a “data scientist” and the attributes that contribute to a successful outcome, then perhaps you need to reexamine the influential communication part. “What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.” So before you go flapping your lips “with data, you either need to get on board or get out of the way” to the CEO or senior management, you might also think about their shoe they will be logging into your body where the sun does not shine.

    Like

    • cappeldt January 9, 2014 / 8:46 pm

      I’m not entirely sure where you’re coming from and maybe I can help clarify something you my have misunderstood. Do you mind expanding on your previous comment?

      Like

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